当前位置>主页 > 期刊在线 > 信息技术 >

信息技术2020年6期

中国移动应用商场智能应用分发中台研究
蔡琨,叶秀泳,张云
(中移互联网有限公司,广东 广州 510600)

摘  要:MM应用商场是工信部首批“可信应用商店”,是中国移动精心打造的一站式手机应用与内容营销服务平台。在MM应用分发开展商业化合作的过程中,为了解决不同商业合作模式的融合与选择,尽可能最优化MM应用商场分发策略,以期达成最大化MM流量价值的目标,在MM产品现有门户范围内,采用相同位置不同合作模式、相同合作模式不同位置的对比测试方法,不断优化、迭代多商业模式融合的竞价模型,为构建基于商业价值竞价模型的智能应用分发中台提供最优模型,达成聚合上下游DSP与SSP优势资源,促进多方合作共赢的商业目标。


关键词:eCPM;DSP;SSP;竞价



中图分类号:TP393.09;TP311.52         文献标识码:A         文章编号:2096-4706(2020)06-0010-03


Research on Intelligent Application Distribution Center of China Mobile Application Store

CAI Kun,YE Xiuyong,ZHANG Yun

(China Mobile Internet Co.,Ltd.,Guangzhou 510600,China)

Abstract:Mobile market is the first batch of “trusted application stores” of MIIT,and it is a one-stop mobile application and content marketing service platform carefully built by China Mobile. In the process of commercial cooperation of MM application distribution,in order to solve the integration and selection of different business cooperation modes and optimize the distribution strategy of MM application store as much as possible,in order to achieve the goal of maximizing the value of MM traffic,a comparative test with different cooperation modes in different positions and the same cooperation mode in different positions is adopted within the existing portal of MM product test) method,continuously optimize and iterate the bidding model of multi business model integration,provide the optimal model for building the intelligent application distribution middle platform based on the business value bidding model,achieve the business goal of aggregating the superior resources of upstream and downstream DSP and SSP,and promote multi-party cooperation and win-win.

Keywords:eCPM;DSP;SSP;bidding


作者简介:

蔡琨(1985-),男,汉族,湖北武汉人,产品运营主管,硕士研究生,研究方向:互联网商业化模式运营;

叶秀泳(1980-),女,汉族,广东和平人,产品运营专家,硕士研究生,研究方向:互联网大数据分析;

张云(1982-),男,汉族,安徽合肥人,研发架构专家,硕士研究生,研究方向:信息系统平台架构、网络信息安全、大数据平台、数据挖掘、实时计算应用、分布式计算、微服务、搜索引擎等。